Data Sampling and Processing: Uniform vs. Non-Uniform Schemes - Archive ouverte HAL Access content directly
Conference Papers Year : 2015

Data Sampling and Processing: Uniform vs. Non-Uniform Schemes


It has been shown in previous works that non-uniform sampling and processing is a better scheme than the uniform sampling to sample and process low activity signals. Non-uniform sampling technique generates fewer samples, which means less data to process and lower power consumption. Furthermore, asynchronous logic is known to be data-driven. It proves to be more adapted to the non-uniform sampling than synchronous logic. It is thus a better alternative to design low power data-processing circuits. In this paper, we present an overview of the non-uniform sampling scheme. It also describes the architectures of a processing function (Finite Impulse Response filter) in synchronous and asynchronous technologies. These circuits have been implemented on an Altera EP2C8 FPGA in order to extract and compare their activities profiles.
No file

Dates and versions

hal-01293879 , version 1 (25-03-2016)



Taha Beyrouthy, Laurent Fesquet, Robin Rolland. Data Sampling and Processing: Uniform vs. Non-Uniform Schemes. 1st IEEE International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP), Jun 2015, Krakow, Poland. ⟨10.1109/EBCCSP.2015.7300665⟩. ⟨hal-01293879⟩
62 View
0 Download



Gmail Facebook Twitter LinkedIn More